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<div class="title">depthwise_convolution.cl</div>  </div>
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<a href="depthwise__convolution_8cl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="helpers_8h.xhtml">helpers.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#if defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#if CONV_STRIDE_X == 1</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#define convolution1x3 convolution1x3_stride_1</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#elif CONV_STRIDE_X == 2</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="preprocessor">#define convolution1x3 convolution1x3_stride_2</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#elif CONV_STRIDE_X == 3</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#define convolution1x3 convolution1x3_stride_3</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#error &quot;Stride not supported&quot;</span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="keyword">inline</span> float2 convolution1x3_stride_1(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;                                      <span class="keyword">const</span> <span class="keywordtype">float</span>           left_coeff,</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;                                      <span class="keyword">const</span> <span class="keywordtype">float</span>           middle_coeff,</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;                                      <span class="keyword">const</span> <span class="keywordtype">float</span>           right_coeff)</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;{</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    float4 temp = vload4(0, (__global <span class="keywordtype">float</span> *)left_pixel);</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    float2 left   = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s01, float2);</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    float2 middle = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s12, float2);</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    float2 right  = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s23, float2);</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    <span class="keywordflow">return</span> left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;}</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;inline float2 convolution1x3_stride_2(__global const uchar *left_pixel,</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;                                      const <span class="keywordtype">float</span>           left_coeff,</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;                                      const <span class="keywordtype">float</span>           middle_coeff,</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;                                      const <span class="keywordtype">float</span>           right_coeff)</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;{</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    float4 temp0 = vload4(0, (__global <span class="keywordtype">float</span> *)left_pixel);</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    <span class="keywordtype">float</span>  temp1 = *((__global <span class="keywordtype">float</span> *)(left_pixel + 4 * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>)));</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    float2 left   = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s02, float2);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    float2 middle = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s13, float2);</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    float2 right  = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((float2)(temp0.s2, temp1), float2);</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <span class="keywordflow">return</span> left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;}</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;inline float2 convolution1x3_stride_3(__global const uchar *left_pixel,</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;                                      const <span class="keywordtype">float</span>           left_coeff,</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;                                      const <span class="keywordtype">float</span>           middle_coeff,</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;                                      const <span class="keywordtype">float</span>           right_coeff)</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;{</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    float4 temp0 = vload4(0, (__global <span class="keywordtype">float</span> *)left_pixel);</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    float2 temp1 = vload2(0, (__global <span class="keywordtype">float</span> *)(left_pixel + 4 * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>)));</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    float2 left   = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s03, float2);</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    float2 middle = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((float2)(temp0.s1, temp1.s0), float2);</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    float2 right  = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((float2)(temp0.s2, temp1.s1), float2);</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    <span class="keywordflow">return</span> left * (float2)left_coeff + middle * (float2)middle_coeff + right * (float2)right_coeff;</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;}</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;inline float2 <a class="code" href="convolution3x3_8cl.xhtml#afc5fefe72e66f0ae5191fd5b708fade9">convolution3x3</a>(</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;    <a class="code" href="struct_image.xhtml">Image</a>      *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>,</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    const <span class="keywordtype">float</span> mat0, const <span class="keywordtype">float</span> mat1, const <span class="keywordtype">float</span> mat2,</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    const <span class="keywordtype">float</span> mat3, const <span class="keywordtype">float</span> mat4, const <span class="keywordtype">float</span> mat5,</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;    const <span class="keywordtype">float</span> mat6, const <span class="keywordtype">float</span> mat7, const <span class="keywordtype">float</span> mat8)</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;{</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    float2 pixels;</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;    pixels = <a class="code" href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a>(<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(src, 0, 0), mat0, mat1, mat2);</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    pixels += <a class="code" href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a>(<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(src, 0, 1), mat3, mat4, mat5);</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    pixels += <a class="code" href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a>(<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(src, 0, 2), mat6, mat7, mat8);</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;    <span class="keywordflow">return</span> pixels;</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;}</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;__kernel <span class="keywordtype">void</span> depthwise_convolution_3x3(</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>),</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights)</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;#<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    ,</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;#endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;)</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;{</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    <a class="code" href="struct_image.xhtml">Image</a>    src     = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    <a class="code" href="struct_image.xhtml">Image</a>    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>     = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> weights = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(weights);</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;<span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;<span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    uchar3 <a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>          = (uchar3)(0, 1, 2) * (uchar3)weights_stride_y;</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    float3 weights_values0 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + offset.s0));</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    float3 weights_values1 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + offset.s1));</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    float3 weights_values2 = vload3(0, (__global <span class="keywordtype">float</span> *)(weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + offset.s2));</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;    float2 pixels = <a class="code" href="convolution3x3_8cl.xhtml#afc5fefe72e66f0ae5191fd5b708fade9">convolution3x3</a>(&amp;src, weights_values0.s0, weights_values0.s1, weights_values0.s2,</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;                                   weights_values1.s0, weights_values1.s1, weights_values1.s2,</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;                                   weights_values2.s0, weights_values2.s1, weights_values2.s2);</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;<span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    pixels += (float2)(*((__global <span class="keywordtype">float</span> *)(biases.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + get_global_id(2) * biases_stride_x)));</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;<span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    vstore2(pixels, 0, (__global <span class="keywordtype">float</span> *)dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;}</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;<span class="preprocessor">#endif //defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;</div><div class="line"><a name="l00211"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#aa5ab4cf85fe56de3821727cfcef327d9">  211</a></span>&#160;<span class="preprocessor">#define CONVOLUTION1x3_BIFROST2X1_STRIDE1(acc, src0, weights_row0) \</span></div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;<span class="preprocessor">    ({                                                             \</span></div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;<span class="preprocessor">        acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0);            \</span></div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;<span class="preprocessor">        acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0);            \</span></div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;<span class="preprocessor">        acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0);            \</span></div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;<span class="preprocessor">        acc.s1 = fma(src0.s1, weights_row0.s0, acc.s1);            \</span></div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;<span class="preprocessor">        acc.s1 = fma(src0.s2, weights_row0.s1, acc.s1);            \</span></div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;<span class="preprocessor">        acc.s1 = fma(src0.s3, weights_row0.s2, acc.s1);            \</span></div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;<span class="preprocessor">    })</span></div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;</div><div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a31cbdd6b28ee6331839432f69d87fdcb">  221</a></span>&#160;<span class="preprocessor">#define CONVOLUTION1x3_BIFROST2X1_STRIDE2(acc, src0, src1, weights_row0) \</span></div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;<span class="preprocessor">    ({                                                                   \</span></div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;<span class="preprocessor">        acc.s0 = fma(src0.s0, weights_row0.s0, acc.s0);                  \</span></div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;<span class="preprocessor">        acc.s0 = fma(src0.s1, weights_row0.s1, acc.s0);                  \</span></div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;<span class="preprocessor">        acc.s0 = fma(src0.s2, weights_row0.s2, acc.s0);                  \</span></div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;<span class="preprocessor">        acc.s1 = fma(src0.s2, weights_row0.s0, acc.s1);                  \</span></div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;<span class="preprocessor">        acc.s1 = fma(src0.s3, weights_row0.s1, acc.s1);                  \</span></div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;<span class="preprocessor">        acc.s1 = fma(src1.s0, weights_row0.s2, acc.s1);                  \</span></div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;<span class="preprocessor">    })</span></div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;</div><div class="line"><a name="l00263"></a><span class="lineno"><a class="line" href="depthwise__convolution_8cl.xhtml#a2fbbf5b73260b66b310d4d857db5289e">  263</a></span>&#160;__kernel <span class="keywordtype">void</span> <a class="code" href="depthwise__convolution_8cl.xhtml#a2fbbf5b73260b66b310d4d857db5289e">depthwise_convolution_3x3_stridex1_stridey1_bifrost</a>(</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst),</div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights)</div><div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;#<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;    ,</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;    <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;#endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;)</div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;{</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;    <a class="code" href="struct_image.xhtml">Image</a>    src     = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;    <a class="code" href="struct_image.xhtml">Image</a>    dst     = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> weights = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(weights);</div><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;</div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    float2 pixels0 = 0.0f;</div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160; 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   <a class="code" href="depthwise__convolution_8cl.xhtml#aa5ab4cf85fe56de3821727cfcef327d9">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels1, src10, weights_row0);</div><div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;    <a class="code" href="depthwise__convolution_8cl.xhtml#aa5ab4cf85fe56de3821727cfcef327d9">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels1, src20, weights_row1);</div><div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;    <a class="code" href="depthwise__convolution_8cl.xhtml#aa5ab4cf85fe56de3821727cfcef327d9">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels1, src30, weights_row2);</div><div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;    <a class="code" href="depthwise__convolution_8cl.xhtml#aa5ab4cf85fe56de3821727cfcef327d9">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels2, src20, weights_row0);</div><div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;    <a class="code" href="depthwise__convolution_8cl.xhtml#aa5ab4cf85fe56de3821727cfcef327d9">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels2, src30, weights_row1);</div><div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;    <a class="code" href="depthwise__convolution_8cl.xhtml#aa5ab4cf85fe56de3821727cfcef327d9">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels2, src40, weights_row2);</div><div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;    <a class="code" href="depthwise__convolution_8cl.xhtml#aa5ab4cf85fe56de3821727cfcef327d9">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels3, src30, weights_row0);</div><div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;    <a class="code" href="depthwise__convolution_8cl.xhtml#aa5ab4cf85fe56de3821727cfcef327d9">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels3, src40, weights_row1);</div><div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;    <a class="code" href="depthwise__convolution_8cl.xhtml#aa5ab4cf85fe56de3821727cfcef327d9">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a>(pixels3, src50, weights_row2);</div><div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160; 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   <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst),</div><div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights)</div><div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;#<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;    ,</div><div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;    <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;#endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;)</div><div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;{</div><div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160; 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   <a class="code" href="helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a>(dst)</div><div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;#ifdef HAS_BIAS</div><div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;    ,</div><div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;    <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;#endif <span class="comment">/* HAS_BIAS */</span></div><div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;)</div><div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;{</div><div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div><div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;<span class="preprocessor">#ifdef HAS_BIAS</span></div><div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160; 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       *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(output_ptr + SRC_WIDTH * get_global_size(1) * dst_stride_x)) = *((__global <span class="keywordtype">float</span> *)(biases.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + get_global_id(2) * biases_stride_x));</div><div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;    }</div><div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;<span class="preprocessor">#endif // defined(HAS_BIAS)</span></div><div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;}</div><div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;<span class="preprocessor">#endif //defined(SRC_WIDTH) &amp;&amp; defined(DATA_TYPE)</span></div><div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;</div><div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;<span class="preprocessor">#if defined(STRIDE_X) &amp;&amp; defined(STRIDE_Y) &amp;&amp; defined(PAD_LEFT) &amp;&amp; defined(PAD_TOP) &amp;&amp; defined(PAD_RIGHT) &amp;&amp; defined(PAD_BOTTOM) &amp;&amp; defined(KERNEL_WIDTH) &amp;&amp; defined(KERNEL_HEIGHT) &amp;&amp; defined(SRC_WIDTH) &amp;&amp; defined(SRC_HEIGHT) &amp;&amp; defined(DATA_TYPE) &amp;&amp; defined(PAD_VALUE)</span></div><div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;</div><div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;__kernel <span class="keywordtype">void</span> depthwise_im2col(<a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src), <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst))</div><div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160;{</div><div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> dst = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(dst);</div><div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;</div><div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> src_pixel_linear = get_global_id(1) * STRIDE_X;</div><div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> full_length      = SRC_WIDTH + PAD_LEFT + PAD_RIGHT;</div><div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> max_initial_x    = STRIDE_X * (((full_length - KERNEL_WIDTH) / STRIDE_X) + 1);</div><div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;</div><div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> src_x = -PAD_LEFT + src_pixel_linear % max_initial_x;</div><div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> src_y = -PAD_TOP + src_pixel_linear / max_initial_x * STRIDE_Y;</div><div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> src_z = get_global_id(2);</div><div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;</div><div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;    __global uchar *input_ptr      = src_ptr + src_offset_first_element_in_bytes + src_z * src_stride_z;</div><div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;    __global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *output_ptr = ((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>));</div><div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;</div><div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = src_y; y &lt; src_y + KERNEL_HEIGHT; ++y)</div><div class="line"><a name="l00511"></a><span class="lineno">  511</span>&#160;    {</div><div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = src_x; x &lt; src_x + KERNEL_WIDTH; ++x, ++output_ptr)</div><div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;        {</div><div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;            <span class="keywordflow">if</span>(x &lt; 0 || x &gt;= SRC_WIDTH || y &lt; 0 || y &gt;= SRC_HEIGHT)</div><div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;            {</div><div class="line"><a name="l00516"></a><span class="lineno">  516</span>&#160;                *output_ptr = PAD_VALUE;</div><div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160;            }</div><div class="line"><a name="l00518"></a><span class="lineno">  518</span>&#160;            <span class="keywordflow">else</span></div><div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;            {</div><div class="line"><a name="l00520"></a><span class="lineno">  520</span>&#160;                *output_ptr = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(input_ptr + x * src_stride_x + y * src_stride_y));</div><div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;            }</div><div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;        }</div><div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;    }</div><div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;<span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;    *output_ptr = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)(1);</div><div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;<span class="preprocessor">#endif // defined(HAS_BIAS)</span></div><div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;}</div><div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160;</div><div class="line"><a name="l00529"></a><span class="lineno">  529</span>&#160;<span class="preprocessor">#endif //defined(STRIDE_X) &amp;&amp; defined(STRIDE_Y) &amp;&amp; defined(PAD_LEFT) &amp;&amp; defined(PAD_TOP) &amp;&amp; defined(PAD_RIGHT) &amp;&amp; defined(PAD_BOTTOM) &amp;&amp; defined(KERNEL_WIDTH) &amp;&amp; defined(KERNEL_HEIGHT) &amp;&amp; defined(SRC_WIDTH) &amp;&amp; defined(DATA_TYPE) &amp;&amp; defined(PAD_VALUE)</span></div><div class="line"><a name="l00530"></a><span class="lineno">  530</span>&#160;</div><div class="line"><a name="l00531"></a><span class="lineno">  531</span>&#160;<span class="preprocessor">#if defined(CONV_WIDTH) &amp;&amp; defined(CONV_HEIGHT) &amp;&amp; defined(DATA_TYPE)</span></div><div class="line"><a name="l00532"></a><span class="lineno">  532</span>&#160;</div><div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;__kernel <span class="keywordtype">void</span> depthwise_vector_to_tensor(</div><div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;    <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(src),</div><div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst))</div><div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;{</div><div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160;    <a class="code" href="struct_vector.xhtml">Vector</a> src = <a class="code" href="helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a>(src);</div><div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160;</div><div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> patch_size = CONV_WIDTH * CONV_HEIGHT;</div><div class="line"><a name="l00558"></a><span class="lineno">  558</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> id0        = get_global_id(0);</div><div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> z          = id0 / patch_size;</div><div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> index2D    = id0 - z * patch_size;</div><div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160;</div><div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;    __global uchar *out_ptr          = dst_ptr + dst_offset_first_element_in_bytes + index2D % CONV_WIDTH * dst_stride_x + index2D / CONV_WIDTH * dst_stride_y + z * dst_stride_z;</div><div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160;    *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)out_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)src.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160;}</div><div class="line"><a name="l00565"></a><span class="lineno">  565</span>&#160;</div><div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160;<span class="preprocessor">#endif //defined(CONV_WIDTH) &amp;&amp; defined(CONV_HEIGHT) &amp;&amp; defined(DATA_TYPE)</span></div><div class="line"><a name="l00567"></a><span class="lineno">  567</span>&#160;</div><div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;<span class="preprocessor">#if defined(ARM_COMPUTE_OPENCL_FP16_ENABLED)</span></div><div class="line"><a name="l00569"></a><span class="lineno">  569</span>&#160;<span class="preprocessor">#if defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;<span class="preprocessor">#if CONV_STRIDE_X == 1</span></div><div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;<span class="preprocessor">#define convolution1x3_f16 convolution1x3_stride_1_f16</span></div><div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;<span class="preprocessor">#elif CONV_STRIDE_X == 2</span></div><div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160;<span class="preprocessor">#define convolution1x3_f16 convolution1x3_stride_2_f16</span></div><div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;<span class="preprocessor">#elif CONV_STRIDE_X == 3</span></div><div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;<span class="preprocessor">#define convolution1x3_f16 convolution1x3_stride_3_f16</span></div><div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160;<span class="preprocessor">#else </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160;<span class="preprocessor">#error &quot;Stride not supported&quot;</span></div><div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* CONV_STRIDE_X */</span><span class="preprocessor"></span></div><div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;</div><div class="line"><a name="l00589"></a><span class="lineno">  589</span>&#160;<span class="keyword">inline</span> half4 convolution1x3_stride_1_f16(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l00590"></a><span class="lineno">  590</span>&#160;                                         <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>            left_coeff,</div><div class="line"><a name="l00591"></a><span class="lineno">  591</span>&#160;                                         <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>            middle_coeff,</div><div class="line"><a name="l00592"></a><span class="lineno">  592</span>&#160;                                         <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>            right_coeff)</div><div class="line"><a name="l00593"></a><span class="lineno">  593</span>&#160;{</div><div class="line"><a name="l00594"></a><span class="lineno">  594</span>&#160;    half8 temp = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel);</div><div class="line"><a name="l00595"></a><span class="lineno">  595</span>&#160;</div><div class="line"><a name="l00596"></a><span class="lineno">  596</span>&#160;    half4 left   = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s0123, half4);</div><div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;    half4 middle = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s1234, half4);</div><div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;    half4 right  = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp.s2345, half4);</div><div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160;</div><div class="line"><a name="l00600"></a><span class="lineno">  600</span>&#160;    <span class="keywordflow">return</span> left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff;</div><div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;}</div><div class="line"><a name="l00602"></a><span class="lineno">  602</span>&#160;</div><div class="line"><a name="l00612"></a><span class="lineno">  612</span>&#160;<span class="keyword">inline</span> half4 convolution1x3_stride_2_f16(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l00613"></a><span class="lineno">  613</span>&#160;                                         <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>            left_coeff,</div><div class="line"><a name="l00614"></a><span class="lineno">  614</span>&#160;                                         <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>            middle_coeff,</div><div class="line"><a name="l00615"></a><span class="lineno">  615</span>&#160;                                         <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>            right_coeff)</div><div class="line"><a name="l00616"></a><span class="lineno">  616</span>&#160;{</div><div class="line"><a name="l00617"></a><span class="lineno">  617</span>&#160;    half8 temp0 = vload8(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel);</div><div class="line"><a name="l00618"></a><span class="lineno">  618</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> temp1  = *((__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(left_pixel + 8 * <span class="keyword">sizeof</span>(<a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>)));</div><div class="line"><a name="l00619"></a><span class="lineno">  619</span>&#160;</div><div class="line"><a name="l00620"></a><span class="lineno">  620</span>&#160;    half4 left   = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s0246, half4);</div><div class="line"><a name="l00621"></a><span class="lineno">  621</span>&#160;    half4 middle = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s1357, half4);</div><div class="line"><a name="l00622"></a><span class="lineno">  622</span>&#160;    half4 right  = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>((half4)(temp0.s246, temp1), half4);</div><div class="line"><a name="l00623"></a><span class="lineno">  623</span>&#160;</div><div class="line"><a name="l00624"></a><span class="lineno">  624</span>&#160;    <span class="keywordflow">return</span> left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff;</div><div class="line"><a name="l00625"></a><span class="lineno">  625</span>&#160;}</div><div class="line"><a name="l00626"></a><span class="lineno">  626</span>&#160;</div><div class="line"><a name="l00636"></a><span class="lineno">  636</span>&#160;<span class="keyword">inline</span> half4 convolution1x3_stride_3_f16(__global <span class="keyword">const</span> uchar *left_pixel,</div><div class="line"><a name="l00637"></a><span class="lineno">  637</span>&#160;                                         <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>            left_coeff,</div><div class="line"><a name="l00638"></a><span class="lineno">  638</span>&#160;                                         <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>            middle_coeff,</div><div class="line"><a name="l00639"></a><span class="lineno">  639</span>&#160;                                         <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a>            right_coeff)</div><div class="line"><a name="l00640"></a><span class="lineno">  640</span>&#160;{</div><div class="line"><a name="l00641"></a><span class="lineno">  641</span>&#160;    half16 temp0 = vload16(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)left_pixel);</div><div class="line"><a name="l00642"></a><span class="lineno">  642</span>&#160;</div><div class="line"><a name="l00643"></a><span class="lineno">  643</span>&#160;    half4 left   = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s0369, half4);</div><div class="line"><a name="l00644"></a><span class="lineno">  644</span>&#160;    half4 middle = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s147A, half4);</div><div class="line"><a name="l00645"></a><span class="lineno">  645</span>&#160;    half4 right  = <a class="code" href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a>(temp0.s258B, half4);</div><div class="line"><a name="l00646"></a><span class="lineno">  646</span>&#160;</div><div class="line"><a name="l00647"></a><span class="lineno">  647</span>&#160;    <span class="keywordflow">return</span> left * (half4)left_coeff + middle * (half4)middle_coeff + right * (half4)right_coeff;</div><div class="line"><a name="l00648"></a><span class="lineno">  648</span>&#160;}</div><div class="line"><a name="l00649"></a><span class="lineno">  649</span>&#160;</div><div class="line"><a name="l00672"></a><span class="lineno">  672</span>&#160;<span class="keyword">inline</span> half4 convolution3x3_f16(</div><div class="line"><a name="l00673"></a><span class="lineno">  673</span>&#160;    <a class="code" href="struct_image.xhtml">Image</a>     *src,</div><div class="line"><a name="l00674"></a><span class="lineno">  674</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat0, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat1, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat2,</div><div class="line"><a name="l00675"></a><span class="lineno">  675</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat3, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat4, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat5,</div><div class="line"><a name="l00676"></a><span class="lineno">  676</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat6, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat7, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> mat8)</div><div class="line"><a name="l00677"></a><span class="lineno">  677</span>&#160;{</div><div class="line"><a name="l00678"></a><span class="lineno">  678</span>&#160;    half4 pixels;</div><div class="line"><a name="l00679"></a><span class="lineno">  679</span>&#160;</div><div class="line"><a name="l00680"></a><span class="lineno">  680</span>&#160;    pixels = convolution1x3_f16(<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(src, 0, 0), mat0, mat1, mat2);</div><div class="line"><a name="l00681"></a><span class="lineno">  681</span>&#160;    pixels += convolution1x3_f16(<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(src, 0, 1), mat3, mat4, mat5);</div><div class="line"><a name="l00682"></a><span class="lineno">  682</span>&#160;    pixels += convolution1x3_f16(<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(src, 0, 2), mat6, mat7, mat8);</div><div class="line"><a name="l00683"></a><span class="lineno">  683</span>&#160;</div><div class="line"><a name="l00684"></a><span class="lineno">  684</span>&#160;    <span class="keywordflow">return</span> pixels;</div><div class="line"><a name="l00685"></a><span class="lineno">  685</span>&#160;}</div><div class="line"><a name="l00686"></a><span class="lineno">  686</span>&#160;</div><div class="line"><a name="l00718"></a><span class="lineno">  718</span>&#160;__kernel <span class="keywordtype">void</span> depthwise_convolution_3x3_f16(</div><div class="line"><a name="l00719"></a><span class="lineno">  719</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div><div class="line"><a name="l00720"></a><span class="lineno">  720</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst),</div><div class="line"><a name="l00721"></a><span class="lineno">  721</span>&#160;    <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights)</div><div class="line"><a name="l00722"></a><span class="lineno">  722</span>&#160;#<span class="keywordflow">if</span> defined(HAS_BIAS)</div><div class="line"><a name="l00723"></a><span class="lineno">  723</span>&#160;    ,</div><div class="line"><a name="l00724"></a><span class="lineno">  724</span>&#160;    <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases)</div><div class="line"><a name="l00725"></a><span class="lineno">  725</span>&#160;#endif <span class="comment">//defined(HAS_BIAS)</span></div><div class="line"><a name="l00726"></a><span class="lineno">  726</span>&#160;)</div><div class="line"><a name="l00727"></a><span class="lineno">  727</span>&#160;{</div><div class="line"><a name="l00728"></a><span class="lineno">  728</span>&#160;    <a class="code" href="struct_image.xhtml">Image</a>    src     = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00729"></a><span class="lineno">  729</span>&#160;    <a class="code" href="struct_image.xhtml">Image</a>    dst     = <a class="code" href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a>(dst);</div><div class="line"><a name="l00730"></a><span class="lineno">  730</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> weights = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(weights);</div><div class="line"><a name="l00731"></a><span class="lineno">  731</span>&#160;<span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00732"></a><span class="lineno">  732</span>&#160;    <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div><div class="line"><a name="l00733"></a><span class="lineno">  733</span>&#160;<span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l00734"></a><span class="lineno">  734</span>&#160;</div><div class="line"><a name="l00735"></a><span class="lineno">  735</span>&#160;    uchar3 offset         = (uchar3)(0, 1, 2) * (uchar3)weights_stride_y;</div><div class="line"><a name="l00736"></a><span class="lineno">  736</span>&#160;    half3 weights_values0 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + offset.s0));</div><div class="line"><a name="l00737"></a><span class="lineno">  737</span>&#160;    half3 weights_values1 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + offset.s1));</div><div class="line"><a name="l00738"></a><span class="lineno">  738</span>&#160;    half3 weights_values2 = vload3(0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(weights.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + offset.s2));</div><div class="line"><a name="l00739"></a><span class="lineno">  739</span>&#160;</div><div class="line"><a name="l00740"></a><span class="lineno">  740</span>&#160;    half4 pixels = convolution3x3_f16(&amp;src, weights_values0.s0, weights_values0.s1, weights_values0.s2,</div><div class="line"><a name="l00741"></a><span class="lineno">  741</span>&#160;                                      weights_values1.s0, weights_values1.s1, weights_values1.s2,</div><div class="line"><a name="l00742"></a><span class="lineno">  742</span>&#160;                                      weights_values2.s0, weights_values2.s1, weights_values2.s2);</div><div class="line"><a name="l00743"></a><span class="lineno">  743</span>&#160;<span class="preprocessor">#if defined(HAS_BIAS)</span></div><div class="line"><a name="l00744"></a><span class="lineno">  744</span>&#160;    pixels += (half4)(*((__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)(biases.<a class="code" href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + get_global_id(2) * biases_stride_x)));</div><div class="line"><a name="l00745"></a><span class="lineno">  745</span>&#160;<span class="preprocessor">#endif //defined(HAS_BIAS)</span></div><div class="line"><a name="l00746"></a><span class="lineno">  746</span>&#160;</div><div class="line"><a name="l00747"></a><span class="lineno">  747</span>&#160;    vstore4(pixels, 0, (__global <a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *)dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00748"></a><span class="lineno">  748</span>&#160;}</div><div class="line"><a name="l00749"></a><span class="lineno">  749</span>&#160;<span class="preprocessor">#endif // defined(CONV_STRIDE_X)</span></div><div class="line"><a name="l00750"></a><span class="lineno">  750</span>&#160;<span class="preprocessor">#endif // defined(ARM_COMPUTE_OPENCL_FP16_ENABLED)</span></div><div class="ttc" id="struct_vector_xhtml"><div class="ttname"><a href="struct_vector.xhtml">Vector</a></div><div class="ttdoc">Structure to hold Vector information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00132">helpers.h:132</a></div></div>
<div class="ttc" id="fixed__point_8h_xhtml_aa8d95ba04fc73845abc6045952cae5be"><div class="ttname"><a href="fixed__point_8h.xhtml#aa8d95ba04fc73845abc6045952cae5be">CONVERT</a></div><div class="ttdeci">#define CONVERT(x, type)</div><div class="ttdef"><b>Definition:</b> <a href="fixed__point_8h_source.xhtml#l00098">fixed_point.h:98</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00117">helpers.h:117</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a527bfdf5eeb306f1cf01c4a8e29f38e0"><div class="ttname"><a href="helpers_8h.xhtml#a527bfdf5eeb306f1cf01c4a8e29f38e0">CONVERT_TO_VECTOR_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_VECTOR_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00096">helpers.h:96</a></div></div>
<div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a73e2825fd61d349c5ca2f5313e3c8ea1"><div class="ttname"><a href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">arm_compute::half</a></div><div class="ttdeci">half_float::half half</div><div class="ttdoc">16-bit floating point type </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00044">Types.h:44</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a22f42fcf2077d951271df83b55c1a71a"><div class="ttname"><a href="helpers_8h.xhtml#a22f42fcf2077d951271df83b55c1a71a">IMAGE_DECLARATION</a></div><div class="ttdeci">#define IMAGE_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00066">helpers.h:66</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00149">helpers.h:149</a></div></div>
<div class="ttc" id="depthwise__convolution_8cl_xhtml_a31cbdd6b28ee6331839432f69d87fdcb"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a31cbdd6b28ee6331839432f69d87fdcb">CONVOLUTION1x3_BIFROST2X1_STRIDE2</a></div><div class="ttdeci">#define CONVOLUTION1x3_BIFROST2X1_STRIDE2(acc, src0, src1, weights_row0)</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00221">depthwise_convolution.cl:221</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00301">helpers.h:301</a></div></div>
<div class="ttc" id="depthwise__convolution_8cl_xhtml_a2fbbf5b73260b66b310d4d857db5289e"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a2fbbf5b73260b66b310d4d857db5289e">depthwise_convolution_3x3_stridex1_stridey1_bifrost</a></div><div class="ttdeci">__kernel void depthwise_convolution_3x3_stridex1_stridey1_bifrost(__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_stride_z, uint dst_step_z, uint dst_offset_first_element_in_bytes, __global uchar *weights_ptr, uint weights_stride_x, uint weights_step_x, uint weights_stride_y, uint weights_step_y, uint weights_stride_z, uint weights_step_z, uint weights_offset_first_element_in_bytes, __global uchar *biases_ptr, uint biases_stride_x, uint biases_step_x, uint biases_offset_first_element_in_bytes)</div><div class="ttdoc">This OpenCL kernel is optimized for Bifrost architectures and computes the depthwise convolution 3x3 ...</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00263">depthwise_convolution.cl:263</a></div></div>
<div class="ttc" id="helpers_8h_xhtml"><div class="ttname"><a href="helpers_8h.xhtml">helpers.h</a></div></div>
<div class="ttc" id="convolution3x3_8cl_xhtml_afc5fefe72e66f0ae5191fd5b708fade9"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afc5fefe72e66f0ae5191fd5b708fade9">convolution3x3</a></div><div class="ttdeci">short8 convolution3x3(Image *src, const short mat0, const short mat1, const short mat2, const short mat3, const short mat4, const short mat5, const short mat6, const short mat7, const short mat8, uint scale)</div><div class="ttdoc">Apply a 3x3 convolution matrix to a single channel U8 input image and return the result. </div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00082">convolution3x3.cl:82</a></div></div>
<div class="ttc" id="struct_vector_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_vector.xhtml#acf52c23cbd7424606c10a606524e3e32">Vector::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00134">helpers.h:134</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a40a6eb9f2a7712f08d6bb8ff6c9e6ca7"><div class="ttname"><a href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a></div><div class="ttdeci">#define VECTOR_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00060">helpers.h:60</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
<div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00140">helpers.h:140</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00074">helpers.h:74</a></div></div>
<div class="ttc" id="depthwise__convolution_8cl_xhtml_aa5ab4cf85fe56de3821727cfcef327d9"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#aa5ab4cf85fe56de3821727cfcef327d9">CONVOLUTION1x3_BIFROST2X1_STRIDE1</a></div><div class="ttdeci">#define CONVOLUTION1x3_BIFROST2X1_STRIDE1(acc, src0, weights_row0)</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00211">depthwise_convolution.cl:211</a></div></div>
<div class="ttc" id="struct_image_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">Image::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00142">helpers.h:142</a></div></div>
<div class="ttc" id="depthwise__convolution_8cl_xhtml_a328ab548c536089e8238fb33de617bec"><div class="ttname"><a href="depthwise__convolution_8cl.xhtml#a328ab548c536089e8238fb33de617bec">depthwise_convolution_3x3_stridex2_stridey2_bifrost</a></div><div class="ttdeci">__kernel void depthwise_convolution_3x3_stridex2_stridey2_bifrost(__global uchar *src_ptr, uint src_stride_x, uint src_step_x, uint src_stride_y, uint src_step_y, uint src_stride_z, uint src_step_z, uint src_offset_first_element_in_bytes, __global uchar *dst_ptr, uint dst_stride_x, uint dst_step_x, uint dst_stride_y, uint dst_step_y, uint dst_stride_z, uint dst_step_z, uint dst_offset_first_element_in_bytes, __global uchar *weights_ptr, uint weights_stride_x, uint weights_step_x, uint weights_stride_y, uint weights_step_y, uint weights_stride_z, uint weights_step_z, uint weights_offset_first_element_in_bytes, __global uchar *biases_ptr, uint biases_stride_x, uint biases_step_x, uint biases_offset_first_element_in_bytes)</div><div class="ttdoc">This OpenCL kernel is optimized for Bifrost architectures and computes the depthwise convolution 3x3 ...</div><div class="ttdef"><b>Definition:</b> <a href="depthwise__convolution_8cl_source.xhtml#l00360">depthwise_convolution.cl:360</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a64d779f80eeb923e0ab2313433f7b40b"><div class="ttname"><a href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_VECTOR_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00099">helpers.h:99</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a7e4940407322d6f0ccb8b6b86b856019"><div class="ttname"><a href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a></div><div class="ttdeci">__global const uchar * vector_offset(const Vector *vec, int x)</div><div class="ttdoc">Get the pointer position of a Vector. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00290">helpers.h:290</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a541f8db866a0fa93ee67d58ea31a7d0c"><div class="ttname"><a href="helpers_8h.xhtml#a541f8db866a0fa93ee67d58ea31a7d0c">CONVERT_TENSOR3D_TO_IMAGE_STRUCT</a></div><div class="ttdeci">#define CONVERT_TENSOR3D_TO_IMAGE_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00114">helpers.h:114</a></div></div>
<div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00151">helpers.h:151</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
<div class="ttc" id="convolution3x3_8cl_xhtml_a92702074338198e81a46c3e309d9b04f"><div class="ttname"><a href="convolution3x3_8cl.xhtml#a92702074338198e81a46c3e309d9b04f">convolution1x3</a></div><div class="ttdeci">short8 convolution1x3(__global const uchar *left_pixel, const short left_coeff, const short middle_coeff, const short right_coeff)</div><div class="ttdoc">Compute a 1D horizontal convolution of size 3 for 8 bytes assuming the input is made of 1 channel of ...</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00043">convolution3x3.cl:43</a></div></div>
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